Applied Scientist, Music Catalog & Personalization

A leading audio entertainment service in San Francisco is seeking an Applied Scientist to develop machine learning models that enhance music and podcast recommendations. The ideal candidate has extensive experience in building models and a strong educational background in computer science or related fields. The role involves collaborating with engineers to innovate AI and ML solutions, ultimately improving the user experience for millions of listeners. Competitive salary and benefits are offered. #J-18808-Ljbffr